PyPi 上缺失模块的总下载量 [英] Total Downloads of Module Missing on PyPi

问题描述

直到最近，才有可能看到一个 python 模块在 https://pypi.python 上索引了多少次.org/pypi 已下载(每个模块都列出了过去 24 小时、一周和一个月的下载量).现在似乎缺少这些信息.

Up until recently, it was possible to see how many times a python module indexed on https://pypi.python.org/pypi had been downloaded (each module listed downloads for the past 24hrs, week and month). Now that information seems to be missing.

在评估是否从一个模块或另一个模块构建代码时，下载编号是非常有用的信息.它们似乎也被 https://img.shields.io/

Download numbers are very helpful information when evaluating whether to build code off of one module or another. They also seem to be referenced by sites such as https://img.shields.io/

有谁知道发生了什么?和/或，我可以在哪里查看/检索该信息?

Does anyone know what happened? And/or, where I can view/retrieve that information?

推荐答案

这个 电子邮件 说:

This email from Donald Stufft (PyPI maintainer) from distutils mailing list says:

仅供参考，我暂时在 PyPI 上禁用下载计数.统计堆栈已损坏，需要工程工作来修复它以处理 PyPI 的更改.有人建议隐藏计数将有助于防止用户在看到诸如下载 0 次"之类的内容时出现混淆.让人们相信图书馆没有用户，即使它是一个下载量很大的图书馆.

Just an FYI, I've disabled download counts on PyPI for the time being. The statistics stack is broken and needs engineering effort to fix it back up to deal with changes to PyPI. It was suggested that hiding the counts would help prevent user confusion when they see things like "downloaded 0 times" making people believe that a library has no users, even if it is a significantly downloaded library.

我不太可能去修复当前堆栈，因为作为 Warehouse 的一部分，我正在开发一个更好的新统计堆栈.该堆栈的数据收集和存储部分已经完成，我只需要完成查询(由于新的系统查询可能需要 10 多秒才能完成，但可以在任何维度上进行查询，因此变得更加困难)和一个处理历史数据并将其放入新的存储引擎的工具.

I'm unlikely to get around to fixing the current stack since, as part of Warehouse, I'm working on a new statistics stack which is much better. The data collection and storage parts of that stack are already done and I just need to get querying done (made more difficult by the fact that the new system queries can take 10+ seconds to complete, but can be queried on any dimension) and a tool to process the historical data and put it into the new storage engine.

无论如何，这只是为了让人们知道这不是该功能的永久丢失，我们不会丢失任何数据.

Anyways, this is just to let folks know that this isn't a permanent loss of the feature and we won't lose any data.

所以我想我们将不得不等待 PyPI 中的新统计信息堆栈.

So i guess we'll have to wait for a new stats stack in PyPI.

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